| Literature DB >> 30559762 |
Tsvia Gildor1, Smadar Ben-Tabou de-Leon1.
Abstract
[This corrects the article DOI: 10.3389/fgene.2018.00339.].Entities:
Keywords: clustering algorithm; comparative developmental biology; development and evolution; developmental robustness and plasticity; gene expression kinetics; scaling & modeling
Year: 2018 PMID: 30559762 PMCID: PMC6293238 DOI: 10.3389/fgene.2018.00631
Source DB: PubMed Journal: Front Genet ISSN: 1664-8021 Impact factor: 4.599
Figure 1Comparative analyses of developmental expression profiles. (A) Scaling gene expression kinetics. (Aa) The initiation time, t, of each gene in each species can be measured using a sigmoidal fit, here: a = 0.8; b = 0.6; c = 1 and t = 8 hpf. (Ab) Gene initiation time in one species vs. initiation time in the other species. (Ac) The estimated linear relationship is used to scale the developmental time points in the two species. Kinetic profiles are shown before (left) and after (right) scaling and expression level normalization. (B) k-means clustering of the temporal profiles of homologous genes in P. lividus and S. purpuratus. Genes are clustered according to their expression profiles in P. lividus (cluster A in the middle). Yellow line indicates the cluster centroid in P. lividus; black lines are expression levels of genes in this cluster in P. lividus (left) and their orthologues in S. purpuratus (right); red lines and blue lines are the median of the temporal profiles of the genes in a cluster in P. lividus and in S. purpuratus, respectively. Secondly, the genes in the clusters are separated into conserved vs. diverged (see text). For example, we detect ribosomal genes in the conserved cluster (left) and ABC transporters in the diverged cluster (right).